MacroHands debuts: 3D hand tracking from egocentric video, stereo variant cuts depth error to 13.1mm
eliebakouch · x · 2026-11-11
MacroData Labs announced MacroHands, a model family for 3D hand tracking and camera pose estimation from egocentric video, with Mono and Stereo variants.
The team previously explained that accurate hand tracking is critical for egocentric video, while existing solutions fail on real footage. MacroHands claims to work with gloves, occlusions, and crowds.
Key reported metrics:
- Mono hits 32.2mm error on SHOW3D vs HaWoR's 55.9mm
- Stereo improves depth estimation nearly 3x, down to 13.1mm error
- Recovers 80% of hands when half is occluded (baselines ≤59%)
- Only 0.2% wrong detections on other people's hands vs HaWoR's 24%
- 4x less camera drift than DROID-SLAM
Related event: MacroHands brings egocentric 3D hand tracking with 13.1mm stereo error(3 posts)→
More from Embodied
- Shepherd Robotics details Shepherd-0, its physical skill learning system built for robot deployment — KlausCodes · 2026-11-11
- US robotaxi deployments are closing the gap with China, new data shows — skorusARK · 2026-11-11
- OpenTac debuts at CoRL as researchers call tactile the missing half of robot data — anand_bhattad · 2026-11-11
- Fully DIY in-wheel-motor autonomous RC car runs SLAM on a ¥2000 LiDAR — ___Mufasaa · 2026-11-11
- AHA 2026: AI reads smartwatch ECGs for heart failure and speeds echo interpretation — AmiBhattMD · 2026-11-11
- Nvidia's GR00T 2 learns robot tasks from 400,000 hours of human video — The Decoder · 2026-11-11